Sun Kim
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
Papers in
-
- Bioinformatics and Genomic Networks 42
- Genomics and Phylogenetic Studies 36
- Gene expression and cancer classification 17
- Epigenetics and DNA Methylation 16
- Genomics and Chromatin Dynamics 12
-
- MicroRNA in disease regulation 12
- Breast Cancer Treatment Studies 11
- Co-authors
- Kenneth P. Nephew (16 shared papers)Sangseon Lee (37 shared papers)Sangsoo Lim (20 shared papers)Seokjun Seo (5 shared papers)Meng Li (5 shared papers)Heejoon Chae (22 shared papers)Inuk Jung (17 shared papers)Kwangmin Choi (11 shared papers)
- Journals
- Bioinformatics (22 papers)Scientific Reports (13 papers)BMC Bioinformatics (8 papers)Methods (8 papers)BMC Genomics (8 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Sun Kim
189 papers receiving 3.7k citations
Sun Kim's Hit Papers
Peers
Comparison fields: 5 of 139
- Cancer Research 481
- Molecular Biology 1.7k
- Computational Theory and Mathematics 313
- Plant Science 676
- Reproductive Medicine 159
Countries citing papers authored by Sun Kim
This map shows the geographic impact of Sun Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Kim more than expected).
Fields of papers citing papers by Sun Kim
This network shows the impact of papers produced by Sun Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sun Kim. The network helps show where Sun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Genome of the Natural Genetic Engineer Agrobacterium tumefaciens C58 Hit paper breakdown → | 2001 | 688 |
| 2 | 2009 | 198 | |
| 3 | 2009 | 142 | |
| 4 | 2006 | 133 | |
| 5 | 2018 | 131 | |
| 6 | 2008 | 102 | |
| 7 | 2018 | 98 | |
| 8 | 2021 | 90 | |
| 9 | 2023 | 76 | |
| 10 | 2007 | 65 | |
| 11 | 2016 | 49 | |
| 12 | 2017 | 45 | |
| 13 | 2020 | 44 | |
| 14 | 2014 | 41 | |
| 15 | 2015 | 40 | |
| 16 | 2014 | 38 | |
| 17 | 2016 | 36 | |
| 18 | 2020 | 36 | |
| 19 | 2022 | 36 | |
| 20 | 2020 | 35 |
About Sun Kim
Sun Kim is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Information Systems and Management and Artificial Intelligence, having authored 197 papers that have together received 3.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (42 papers), Genomics and Phylogenetic Studies (36 papers), Computational Drug Discovery Methods (22 papers), Gene expression and cancer classification (17 papers), Epigenetics and DNA Methylation (16 papers), Genomics and Chromatin Dynamics (12 papers), MicroRNA in disease regulation (12 papers) and Breast Cancer Treatment Studies (11 papers). The work is most often cited by research in Cancer Research (481 citations), Molecular Biology (1.7k citations), Computational Theory and Mathematics (313 citations), Plant Science (676 citations) and Reproductive Medicine (159 citations) Sun Kim has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Kenneth P. Nephew, Sangseon Lee, Sangsoo Lim, Seokjun Seo, Meng Li, Heejoon Chae, Inuk Jung, Kwangmin Choi, Curt Balch and Kyuri Jo. Their work appears in journals such as Bioinformatics, Scientific Reports, BMC Bioinformatics, Methods and BMC Genomics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.